Critical Minerals Explained: What Powers AI | AI Fundamentals

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AI runs on power. But what does power run on? In the last video in my AI Fundamentals series, we found that power is the main input to AI. Today, we go one layer deeper into the stack: the critical minerals behind power. I break down the copper, gallium, germanium, rare earth magnets, and battery metals inside every AI data center. Then we look at why refining matters more than mining, and why China controls about 90% of global refining. We also do a copper deep dive: how much copper AI data centers use, and why new mines take 15 to 30 years to build. The short version: demand moves at the speed of software, but supply moves at the speed of mines.

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CHAPTERS:
0:00 AI Needs Power. What Does Power Need?
0:29 What This Video Covers: The Full AI Stack
0:52 Surge Battery Metals
3:57 The Bottleneck Behind AI's Power Bottleneck
4:34 Why AI Is Limited by the Physical World
4:58 Why New Mines Take 10 to 30 Years
5:16 Minerals Inside an AI Data Center
5:25 Copper for Wiring, Transformers, and Cooling Loops
5:42 Gallium/Germanium for AI Chips and Fiber Optics
5:52 Magnets in Data Center Fans, Motors, and Pumps
6:05 Battery Minerals: Lithium, Cobalt, Nickel, Graphite
6:13 The List
6:37 Mining vs. Refining: Why Refining Matters More
7:16 Critical Mineral Refining
7:40 Magnet Production
8:01 Critical Mineral Refining2
8:20 The Race to Build Refining Capacity
9:12 Copper Deep Dive: How Much Copper Do AI Data Centers Use?
9:59 Copper Demand From Transmission Lines and Grid Infrastructure
10:17 The Growing Copper Supply Deficit
10:41 How Long a Copper Mine Takes (Global vs. US)
11:12 5 Implications for Mineral Markets
11:38 Public-Private Partnerships
12:03 Demand Moves at the Speed of Software, Supply at the Speed of Mines
12:17 The Full AI Stack: From Apps to Minerals
12:43 What's Next in the AI Fundamentals Series

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